Can I read GWC2025 Paper 34 on EtoBox?
GWC2025 Paper 34 by Prof. Shikhar Kr. Sarma is a document available to read on EtoBox.
What is GWC2025 Paper 34 about?
This document presents a study on enhancing Neural Machine Translation (NMT) for the low-resource Assamese-Bodo language pair by integrating WordNet resources. The authors demonstrate that incorporating parallel synsets and concept sentences from Assamese and Bodo WordNets significantly improves translation accuracy, achieving BLEU score gains of 2-3 points over baseline models. The research highlights the potential of leveraging structured lexical databases like WordNet to address challenges faced by low-r
- Author
- Prof. Shikhar Kr. Sarma
- Language
- EN